Content Providers
Keywords: Cloud computing or Containers or EXCELERATE or Machine Learning or Nanotechnology or Synthetic biology
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NanoCommons
NanoCommons will deliver a sustainable and openly accessible nanoinformatics framework (knowledgebase and integrated computational tools, supported by expert advice, data interpretation and training), for assessment of the risks of NMs, their products and their formulations. NanoCommons combines...
9 training materials0 events (21 past events)NanoCommons https://www.nanocommons.eu/ https://86.50.228.192/content_providers/nanocommons NanoCommons will deliver a sustainable and openly accessible nanoinformatics framework (knowledgebase and integrated computational tools, supported by expert advice, data interpretation and training), for assessment of the risks of NMs, their products and their formulations. NanoCommons combines Joint Research Activities to implement the nanoinformatics Knowledge Commons, Networking Activities to facilitate engagement with the research community, industry and regulators, and provision of funded Access to the nanoinformatics tools via funded calls for Transnational Access. /system/content_providers/images/000/000/099/original/NanoCommons-Logo-Sphere-Trans-White-circle-512px.png?1650899421 -
ELIXIR Slovenia
Slovenian national ELIXIR node
5 training materials0 events (19 past events)ELIXIR Slovenia https://elixir.mf.uni-lj.si https://tess.elixir-europe.org/content_providers/elixir-slovenia Slovenian national ELIXIR node /system/content_providers/images/000/000/103/original/ELIXIR_SLOVENIA_white_background.png?1544083070 -
eNanoMapper
eNanoMapper developed a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper supports...
10 training materialseNanoMapper http://enanomapper.net/ https://tess.elixir-europe.org/content_providers/enanomapper eNanoMapper developed a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs) based on open standards, ontologies and an interoperable design to enable a more effective, integrated approach to European research in nanotechnology. eNanoMapper supports the collaborative safety assessment for ENMs by creating a modular, extensible infrastructure for transparent data sharing, data analysis, and the creation of computational toxicology models for ENMs. eNanoMapper was funded by the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 604134. /system/content_providers/images/000/000/092/original/logo.png?1528313779 -
FAIRDOM
Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology.
0 events (2 past events)FAIRDOM https://fair-dom.org/ https://tess.elixir-europe.org/content_providers/fairdom Research Infrastructure supporting life scientists in managing their data and models FAIRly. Specifically designed for interdisciplinary research such as systems biology, systems medicine, and synthetic biology. /system/content_providers/images/000/000/100/original/Screen_Shot_2018-09-06_at_15.54.17.png?1536245244 -
Seqera Labs
Founded by the creators of Nextflow, Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem.
We organize training events for your team or organization. These are intended for...
0 events (1 past event)Seqera Labs http://www.seqera.io https://tess.elixir-europe.org/content_providers/seqera-labs Founded by the creators of [Nextflow](http://www.nextflow.io), Seqera Labs mission is to foster the adoption of professional open source software and strengthen the community effort around the Nextflow ecosystem. We organize training events for your team or organization. These are intended for anyone who wishes to learn about the technology, starting from basic through to advanced concepts. Our most popular intensive two-day course includes topics on containerization, cloud deployment, Git integration and best practices for reproducibility. /system/content_providers/images/000/000/111/original/Seqera_Labs_-_grey.png?1553771707 -
Cloud-SPAN
Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project:
- Prenomics
- Genomics
- Create your own AWS...1 training materialCloud-SPAN https://cloud-span.york.ac.uk/ https://tess.elixir-europe.org/content_providers/cloud-span Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project: - Prenomics - Genomics - Create your own AWS instance - Metagenomics - Statistically useful experimental design - Automation & pipelines (WIP) - Core R (WIP) /system/content_providers/images/000/000/658/original/cloud-span-logo-square.png?1666085149 -
proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675